Science can tell if a song is going to be a hit before it’s released
- June 23, 2023
- 0
The songs that are hits all over the world today have a lot in common, especially in the pop genre. These songs are usually built around four common
The songs that are hits all over the world today have a lot in common, especially in the pop genre. These songs are usually built around four common
The songs that are hits all over the world today have a lot in common, especially in the pop genre. These songs are usually built around four common notes. But of course someone who uses these four notes Not every song is equally successful.
Likewise, whether we like a song or not can depend on the mood and environmental conditions we are in at the time. But a song nonetheless It is scientifically possible to predict whether it will be a hit.
Three scientists have revealed in their new research that we can use artificial intelligence to predict whether a song will be a hit. Of course here’s the song, artificial intelligence is not listened to.
The reactions in the bodies of the volunteers listening to the song are analyzed by machine learning algorithms. algorithms, It measures and evaluates the person’s emotion and the attention he gives to music.
The longer a person is neurologically “in” with a song and the less they want to drop it, the more likely it is to become a hit. In other words, the person is not simply saying “like” or “dislike” with their mouth. His body says it instead.
In studies with 33 voluntary participants, this system was found to be quite successful. 13 of them were presented to the participants as “hits” by music platforms. A total of 24 new songs has been played. Participants were not told which songs were hits.
During the listening sessions, the neurological reactions of 33 people to the songs were transferred to the algorithms. The algorithm determines which song is a hit or not based on people’s neurological reactions by listening for just one minute. 82% accuracy managed to guess.
Scientists’ next focus is to predict whether entertainment content such as movies and TV series will be popular, not just music.
Source: Web Tekno
Ashley Johnson is a science writer for “Div Bracket”. With a background in the natural sciences and a passion for exploring the mysteries of the universe, she provides in-depth coverage of the latest scientific developments.